Stick-slip meets #superlubricity! #InnovativeTsinghua team led by Prof. Zheng Quanshui discovered stick-slip motion with near-zero friction at an Au/graphite interface in @natcomms.nature.com. This opens pathways for micro/nanoscale #actuators and sensors.
For more: bit.ly/4yYePXK

Did you know cytokines can regulate #antitumor immunity? Prof. Fu Yangxin’s #InnovativeTsinghua team & collaborators developed an antibody-based IL-15 mimetic targeting tumor-infiltrating T cells. It shows strong antitumor activity & enables targeted #cytokine therapy.
More: bit.ly/3T9aBNP

Can physics teach AI with less data? #InnovativeTsinghua team & @fudanuniversity.bsky.social propose physical transfer learning, transferring physics from simple to complex systems. In @natcomputsci.nature.com, it boosts brain-development prediction with scarce data & advances brain digital twins.

Pull a robot's chair away mid-sit, and it usually falls. This one squats instead. #InnovativeTsinghua team IVG & collaborators built GigaBrain-WBC-0.5, the world's first behavior world model for humanoid control, letting robots predict their surroundings and adjust in real time.
More: bit.ly/4cEGnZD

What if photonic neurons could think in memory? #InnovativeTsinghua team developed FLARE, a fully in-memory #photonic architecture that stores and computes in one optical network, cutting #data movement and power for deeper, more efficient optical neural networks.
More: bit.ly/4qYuzY3

More power in less space! #InnovativeTsinghua team’s MR-SECE strategy replaces bulky inductors with a custom switched-capacitor array, efficiently harvesting #energy from TENGs in a compact system for self-powered #sensors, wearables, and environmental monitoring.
More: bit.ly/4cpjaKP

Complex cracks solved by #InnovativeTsinghua! The team’s work in @natcomms.nature.com introduces the Extended Deep Energy Method, combining discrete crack and phase-field models in one physics-informed #AI framework for crack growth, material failure and structural reliability.
More: bit.ly/3URhqUL

From offline to online training. RLinf was built by #InnovativeTsinghua researchers led by Prof. Wang Yu and Asst. Prof. Yu Chao. Its M2Flow design splits learning from execution, a scheduler speeds training 2.43x, and it manages #robots like GPUs.
More: bit.ly/3SQ8QVC

Spaceflight affects human #reproduction at cell level. #InnovativeTsinghua researchers found in @science.org that it halves cell differentiation and slows stem #cell growth by 26%, a key clue for deep-space reproductive health.
More: bit.ly/4hXFgI3

A new era of timekeeping! 🕒⚛️ #InnovativeTsinghua
Prof. Shiqian Ding and collaborators report in @nature.com one of the first operating nuclear clocks. By locking a VUV laser to the Th-229 nuclear transition in a CaF₂ crystal, they achieved high stability and reproducibility.
More: bit.ly/4y4EPja

Advancing smart bone #regeneration. #InnovativeTsinghua team led by Assoc. Prof. Yin Lan, with multi‑institute partners, developed a 3D‑printed biodegradable cranial device. It delivers local electrical stimulation for skull #repair and monitors early healing.
More: bit.ly/4xJkuAX

Can AI build better cities? #InnovativeTsinghua-led international team maps a full-chain framework for AI in urban science in @natcities.nature.com. It highlights key challenges in reliability, fairness & governance, advocating human-centered AI for responsible urban governance.
More: bit.ly/4i3Yv2C

Toward safer #intelligent control! #InnovativeTsinghua researchers team and collaborators from @ucberkeleyofficial.bsky.social & @cmu.edu developed unified #feasibility theory for safe reinforcement learning in @emeraldpublishing.bsky.social, guiding constraint design for long-term safe control.

Smarter gripping for #robotics! #InnovativeTsinghua team, led by Prof. Ding Wenbo & Prof. Wang Hongzhang, developed a magnetic liquid-wetting gripper for handling diverse objects in @elsevierconnect.bsky.social. It enables reversible fixation and can lift up to 10 kg.
For more: bit.ly/4hcG7Ub

High on the #ThirdPole, #InnovativeTsinghua team led by Prof. Xu Mengzhen and Luo Yaqi found Qinghai-Xizang River biodiversity isn't primarily driven by water temperature; it's #hydrodynamics. This finding could reshape how we protect these rivers as glaciers melt.
More: bit.ly/4xeKdju

When is #medical AI truly safe? #InnovativeTsinghua researchers proposed an S1-S4 framework linking AI risk to real-world deployment, human oversight and follow-up, helping hospitals detect, reassess and respond to risks as #AI becomes part of routine #clinical care.

Robots are learning to see the world differently. Prof. Zhao Mingguo's #InnovativeTsinghua team, fused perception into motor control, cutting tracking errors by 46%, enabling simulation-trained #robots to adapt to real terrain and light - no retraining needed.
More: bit.ly/45RXLGt

Photon and phonon join forces! Prof. Tang Junwang's #InnovativeTsinghua team from Dept. of Chemical Engineering developed a photon-phonon co-driven mode for #methane combustion in @pubs.acs.org. Achieving high efficiency and offering a scalable solution for #climate action.
For more: bit.ly/4qHDKvO

Featured on the cover of @natcomputsci.nature.com! Prof. Long Guilu's #InnovativeTsinghua team developed RSRA to compress the search space for NP-complete problems, reducing quantum resource demands and demonstrating #empirical scaling advantages over classical benchmarks.
More: bit.ly/3Sftq1r

A new way to build genes, without polymerase extension. #InnovativeTsinghua researchers & collaborators co-developed MOSAIC, using molecular self-assembly to synthesize thousands of genes, including challenging sequences. It speeds up AI-driven protein design and mRNA vaccines.
More: bit.ly/4wGm1pM